SKILLEMALL.ai

AC tripadvisor-api

Query TripAdvisor location data (search, nearby, details, photos, reviews) straight from a shell with curl against the Terra REST API (terra.tripadvisor.com), instead of running the tripadvisor-mcp server — plus a no-API-key fallback that reads a location's public page through the fpx browser bridge. Use when you want TripAdvisor data without the MCP, in a script, or on a machine where the MCP isn't installed. Triggers on "check TripAdvisor", "TripAdvisor location/restaurant/hotel/attraction search, details, photos, reviews", or any TripAdvisor data request that should hit the API directly.

ClawHub Agent Skills author: chrischall v0.6.2 MIT-0 4 files body ≈ 1 171 tokens Open the sourceclawhub.ai analyzed 2 d ago

Query TripAdvisor location data (search, nearby, details, photos, reviews) straight from a shell with curl against the Terra REST API (terra.tripadvisor.com)…

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1171 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 597: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 14 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The skill is mostly read-only TripAdvisor lookup guidance, but it handles secrets and browser-backed content in ways users should review before installing.
    LLM: suspicious (high) · 10 Sept 2026